Raw LLM Responses
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Ai has already evolved past the "AI doesn't know what objects are". It has a dee…
ytc_Ugw1yzq_4…
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personally, my intentions on using AI-generated art for more than just amusing m…
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G
Video that goes into detail about the history of bromide poisoning and how human…
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Be forgiven for Heaven awaits you!
Ai will help control you, collapse economy, n…
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There is difference between free AI tools and paid ones. That being said the AI …
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Prompts are not extremely important. Same prompt yields different result based o…
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As good as AI really is, there's potential it is gonna stall development of new …
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@Nolimitscameronname Thanks for the comment! While punching a robot might not be…
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Comment
The irony is that the AI providers use a system of "Tokens" as they call them which are the prompt you've given it broken up into little subsegments of language that it processes as individual data packets and the words like "Please" and "Thank you" are entirely discarded by the processing stage of the inferencing algorithm. This is why companies like Open AI for instance have publicly asked people to stop using "Please" and "Thank You" because it costs them millions of dollars a month when it's just useless information that is discarded for the inferencing phase, but they still have to pay the cost of the API calls and the data centers and energy costs required to process those useless bits of information that just get overlooked and discarded by the algorithm anyways. So your advice is actually incorrect, you are correct to say that AI models have gotten better at mimicking different personalities or expertise through agentic AI modelling, but even when using an agentic AI model it's still much more efficient to not use manners or interjections and be as concise with your prompts as possible to net the best results as a response.
youtube
AI Moral Status
2025-05-18T07:3…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[{"id":"ytc_UgzieYAVd79dfS1T3oN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgygjXpgj9eeRpzF9k54AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgybG9byOUCN0Kq0nY54AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxbsJJTeG4u9LPYb4Z4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgybO7KTwWbaTe-uJvt4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"fear"},
{"id":"ytc_UgzR38lXgQTe5bGv99d4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyMvVO4dgzzWAo2T2B4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgzwtPdbB2JDj9Bee2t4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyaLfn7CwrW2Ccn34B4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_Ugxts3C5FwXiLSrgiId4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"}]